" DANA" - An Agent with Understanding Persian Sentences and Performing Actions Abilities

The process of the comprehension of written natural language texts is usually called text understanding. Text understanding includes different processes and has many applications. One of the applications of natural language understanding systems is executing the imperative sentences which has a wide usage in dialog based systems and robotics. Numerous works have been done in processing of Persian language but a few of them has considered the subject of Persian text understanding and performing actions after it. In this paper reports an implementation of a Persian understanding system called DANA. DANA accepts an imperative sentence or a question, applies morphological, syntactic and semantic analysis on it and creates a meaning representation. This system is able to understand some simple Persian sentences, responds to a few orders issued in Persian and answers some of user questions. The results of this project can be used for developing other types of natural language processing systems such as machine translation or question answering systems.